{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "import sys \n",
    "from os import getcwd, path\n",
    "sys.path.append(path.dirname(getcwd()))\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sb\n",
    "import pandas as pd\n",
    "from scipy.stats import spearmanr\n",
    "%matplotlib inline\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'dataframe_hash': 6797089423601767780,\n",
      " 'provenance_file_summary': {u'cohorts': u'0.4.0+3.gda968fb',\n",
      "                             u'isovar': u'0.0.6',\n",
      "                             u'mhctools': u'0.3.0',\n",
      "                             u'numpy': u'1.11.1',\n",
      "                             u'pandas': u'0.18.1',\n",
      "                             u'pyensembl': u'1.0.3',\n",
      "                             u'scipy': u'0.18.1',\n",
      "                             u'topiary': u'0.1.0',\n",
      "                             u'varcode': u'0.5.10'}}\n",
      "inner join with pdl1: 26 to 26 rows\n"
     ]
    }
   ],
   "source": [
    "from utils import data\n",
    "from utils.paper import mann_whitney_hyper_label_printer, spearmanr_hyper_label_printer\n",
    "from cohorts.functions import missense_snv_count\n",
    "cohort = data.init_cohort(normalized_per_mb=False, exclude_patient_ids=set(), only_patients_with_bams=True)\n",
    "col, cohort_df = cohort.as_dataframe(missense_snv_count, join_with=['pdl1'], return_cols=True)\n",
    "cohort_df['Benefit'] = cohort_df['is_benefit']\n",
    "cohort_df['Response'] = cohort_df['benefit'].map(lambda v: cohort.benefit_plot_name if v \n",
    "                                                 else 'No ' + cohort.benefit_plot_name)\n",
    "\n",
    "annotated_effects = cohort.load_polyphen_annotations(as_dataframe=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from pyensembl import ensembl75"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>gene_name</th>\n",
       "      <th>index</th>\n",
       "      <th>TSPAN6</th>\n",
       "      <th>TNMD</th>\n",
       "      <th>DPM1</th>\n",
       "      <th>SCYL3</th>\n",
       "      <th>C1orf112</th>\n",
       "      <th>FGR</th>\n",
       "      <th>CFH</th>\n",
       "      <th>FUCA2</th>\n",
       "      <th>GCLC</th>\n",
       "      <th>...</th>\n",
       "      <th>RPS9</th>\n",
       "      <th>PCDHB19P</th>\n",
       "      <th>PRPF31</th>\n",
       "      <th>MBOAT7</th>\n",
       "      <th>LDHAL6FP</th>\n",
       "      <th>AC005795.1</th>\n",
       "      <th>PRKCD</th>\n",
       "      <th>OR6R2P</th>\n",
       "      <th>TSEN34</th>\n",
       "      <th>patient_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>40</td>\n",
       "      <td>540.2140</td>\n",
       "      <td>56.00000</td>\n",
       "      <td>649.00029</td>\n",
       "      <td>830.8775</td>\n",
       "      <td>582.19160</td>\n",
       "      <td>786.00010</td>\n",
       "      <td>454.547440</td>\n",
       "      <td>4631.10524</td>\n",
       "      <td>748.34841</td>\n",
       "      <td>...</td>\n",
       "      <td>2019.060</td>\n",
       "      <td>609.9150</td>\n",
       "      <td>289.089618</td>\n",
       "      <td>558.051916</td>\n",
       "      <td>5.5000</td>\n",
       "      <td>3.55145</td>\n",
       "      <td>2297.733000</td>\n",
       "      <td>1.00419</td>\n",
       "      <td>121.806427</td>\n",
       "      <td>0040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>471</td>\n",
       "      <td>1133.3780</td>\n",
       "      <td>77.00000</td>\n",
       "      <td>445.99969</td>\n",
       "      <td>903.3402</td>\n",
       "      <td>456.25392</td>\n",
       "      <td>342.99990</td>\n",
       "      <td>984.792258</td>\n",
       "      <td>1619.13800</td>\n",
       "      <td>989.51800</td>\n",
       "      <td>...</td>\n",
       "      <td>3040.690</td>\n",
       "      <td>107.7640</td>\n",
       "      <td>195.470580</td>\n",
       "      <td>505.955050</td>\n",
       "      <td>6.0000</td>\n",
       "      <td>6.58465</td>\n",
       "      <td>1150.999900</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>315.858201</td>\n",
       "      <td>0471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>522</td>\n",
       "      <td>1182.8780</td>\n",
       "      <td>19.00004</td>\n",
       "      <td>1216.99897</td>\n",
       "      <td>2934.5000</td>\n",
       "      <td>1905.22708</td>\n",
       "      <td>2080.99702</td>\n",
       "      <td>3423.509560</td>\n",
       "      <td>2694.14115</td>\n",
       "      <td>5283.14540</td>\n",
       "      <td>...</td>\n",
       "      <td>2943.530</td>\n",
       "      <td>21.2127</td>\n",
       "      <td>195.200002</td>\n",
       "      <td>294.738990</td>\n",
       "      <td>17.5000</td>\n",
       "      <td>6.08811</td>\n",
       "      <td>2669.242960</td>\n",
       "      <td>1.01251</td>\n",
       "      <td>4.892077</td>\n",
       "      <td>0522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1233</td>\n",
       "      <td>201.0806</td>\n",
       "      <td>24.00000</td>\n",
       "      <td>225.99970</td>\n",
       "      <td>616.9180</td>\n",
       "      <td>776.95600</td>\n",
       "      <td>945.99969</td>\n",
       "      <td>1183.850300</td>\n",
       "      <td>710.33517</td>\n",
       "      <td>1073.24268</td>\n",
       "      <td>...</td>\n",
       "      <td>2863.210</td>\n",
       "      <td>175.2840</td>\n",
       "      <td>123.326675</td>\n",
       "      <td>267.840510</td>\n",
       "      <td>15.7641</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>774.582010</td>\n",
       "      <td>2.12905</td>\n",
       "      <td>194.579000</td>\n",
       "      <td>1233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1249</td>\n",
       "      <td>312.2663</td>\n",
       "      <td>163.00000</td>\n",
       "      <td>102.99996</td>\n",
       "      <td>204.7884</td>\n",
       "      <td>498.61147</td>\n",
       "      <td>107.99996</td>\n",
       "      <td>733.000220</td>\n",
       "      <td>511.54965</td>\n",
       "      <td>356.15960</td>\n",
       "      <td>...</td>\n",
       "      <td>547.199</td>\n",
       "      <td>2.5000</td>\n",
       "      <td>54.899960</td>\n",
       "      <td>22.543993</td>\n",
       "      <td>9.0000</td>\n",
       "      <td>14.53360</td>\n",
       "      <td>50.999949</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>6.626220</td>\n",
       "      <td>1249</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 39295 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "gene_name index     TSPAN6       TNMD        DPM1      SCYL3    C1orf112  \\\n",
       "0            40   540.2140   56.00000   649.00029   830.8775   582.19160   \n",
       "1           471  1133.3780   77.00000   445.99969   903.3402   456.25392   \n",
       "2           522  1182.8780   19.00004  1216.99897  2934.5000  1905.22708   \n",
       "3          1233   201.0806   24.00000   225.99970   616.9180   776.95600   \n",
       "4          1249   312.2663  163.00000   102.99996   204.7884   498.61147   \n",
       "\n",
       "gene_name         FGR          CFH       FUCA2        GCLC     ...      \\\n",
       "0           786.00010   454.547440  4631.10524   748.34841     ...       \n",
       "1           342.99990   984.792258  1619.13800   989.51800     ...       \n",
       "2          2080.99702  3423.509560  2694.14115  5283.14540     ...       \n",
       "3           945.99969  1183.850300   710.33517  1073.24268     ...       \n",
       "4           107.99996   733.000220   511.54965   356.15960     ...       \n",
       "\n",
       "gene_name      RPS9  PCDHB19P      PRPF31      MBOAT7  LDHAL6FP  AC005795.1  \\\n",
       "0          2019.060  609.9150  289.089618  558.051916    5.5000     3.55145   \n",
       "1          3040.690  107.7640  195.470580  505.955050    6.0000     6.58465   \n",
       "2          2943.530   21.2127  195.200002  294.738990   17.5000     6.08811   \n",
       "3          2863.210  175.2840  123.326675  267.840510   15.7641     0.00000   \n",
       "4           547.199    2.5000   54.899960   22.543993    9.0000    14.53360   \n",
       "\n",
       "gene_name        PRKCD   OR6R2P      TSEN34  patient_id  \n",
       "0          2297.733000  1.00419  121.806427        0040  \n",
       "1          1150.999900  1.00000  315.858201        0471  \n",
       "2          2669.242960  1.01251    4.892077        0522  \n",
       "3           774.582010  2.12905  194.579000        1233  \n",
       "4            50.999949  0.00000    6.626220        1249  \n",
       "\n",
       "[5 rows x 39295 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from utils.data import patient_id_to_str\n",
    "kallisto_data = pd.read_csv('../bladder-kallisto-tximport.csv', index_col=0)\n",
    "kallisto_data['gene_name'] = kallisto_data.index.map(lambda gid: ensembl75.gene_name_of_gene_id(gid))\n",
    "kallisto_data = kallisto_data.reset_index().drop(['index'], axis=1).set_index('gene_name').T.reset_index()\n",
    "kallisto_data['patient_id'] = kallisto_data['index'].map(patient_id_to_str)\n",
    "kallisto_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patient_id</th>\n",
       "      <th>gene_name</th>\n",
       "      <th>scaledTPM</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0040</td>\n",
       "      <td>TSPAN6</td>\n",
       "      <td>540.2140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0471</td>\n",
       "      <td>TSPAN6</td>\n",
       "      <td>1133.3780</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0522</td>\n",
       "      <td>TSPAN6</td>\n",
       "      <td>1182.8780</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1233</td>\n",
       "      <td>TSPAN6</td>\n",
       "      <td>201.0806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1249</td>\n",
       "      <td>TSPAN6</td>\n",
       "      <td>312.2663</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  patient_id gene_name  scaledTPM\n",
       "0       0040    TSPAN6   540.2140\n",
       "1       0471    TSPAN6  1133.3780\n",
       "2       0522    TSPAN6  1182.8780\n",
       "3       1233    TSPAN6   201.0806\n",
       "4       1249    TSPAN6   312.2663"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "expr_data = pd.melt(kallisto_data.drop('index', axis=1), id_vars='patient_id', value_name='scaledTPM')\n",
    "cohort_expr_data = cohort_df.merge(\n",
    "    pd.melt(kallisto_data.drop('index', axis=1), id_vars='patient_id', value_name='scaledTPM'))\n",
    "cohort_expr_data['Gene'] = cohort_expr_data['gene_name']\n",
    "expr_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Print mutated\n",
    "# Plot Fisher's Exact for mutated vs not, benefit vs not\n",
    "# Mann - Whitney \n",
    "# AUC with gene expression\n",
    "\n",
    "from cohorts.plot import mann_whitney_plot, fishers_exact_plot, roc_curve_plot\n",
    "\n",
    "def create_gene_summary(gene_name):\n",
    "    mutations = annotated_effects[annotated_effects.gene == gene_name]\n",
    "    expression = kallisto_data[['patient_id', gene_name]]\n",
    "    \n",
    "    df = cohort_df.copy()\n",
    "    \n",
    "    mut_col = gene_name + ' Mutated'\n",
    "    df[mut_col] = df.patient_id.isin(mutations.patient_id)\n",
    "    \n",
    "    expr_col = gene_name + ' scaledTPM'\n",
    "    expression.rename(columns={gene_name : expr_col}, inplace=True)\n",
    "    df = df.merge(expression, how='left')\n",
    "    \n",
    "    if len(mutations) > 0:\n",
    "        cols = 3\n",
    "        width = 10\n",
    "        height = 5\n",
    "    else:\n",
    "        cols = 2\n",
    "        width = 8\n",
    "        height = 4\n",
    "    f, ax = plt.subplots(1, cols, figsize=(width, height))\n",
    "    \n",
    "    if len(mutations) > 0:\n",
    "        mut_plot = fishers_exact_plot(data=df, condition1='Response', condition1_value=cohort.benefit_plot_name,\n",
    "                                      condition2=mut_col, ax=ax[0])\n",
    "        fishers_exact_hyper_label_printer(mut_plot, gene_name + \"_mut\")\n",
    "        mut_plot.plot.set_ylim(0, 1)\n",
    "        plt.ylim(0, 1)\n",
    "    \n",
    "    expr_plot = mann_whitney_plot(data=df, \n",
    "                                  condition='Response', \n",
    "                                  distribution=expr_col, \n",
    "                                  condition_value=cohort.benefit_plot_name, \n",
    "                                  ax=ax[-2])\n",
    "    mann_whitney_hyper_label_printer(expr_plot, gene_name)\n",
    "    df['benefit'] = df['benefit'].astype(int)\n",
    "    expr_roc = roc_curve_plot(data=df, value_column=expr_col, outcome_column='benefit', ax=ax[-1])\n",
    "    f.tight_layout()\n",
    "    return mutations[['patient_id', 'aa_change', 'hvar_pred', 'hvar_prob', 'hdiv_pred']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/tavi/miniconda2/lib/python2.7/site-packages/pandas/core/frame.py:2754: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  **kwargs)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mann-Whitney test: U=98.0, p-value=0.257704686002 (two-sided)\n",
      "{{{HAVCR2_plot}}}\n",
      "{{{HAVCR2_benefit:339.74 (range 25.46-1663.50)}}}\n",
      "{{{HAVCR2_no_benefit:131.51 (range 9.92-1142.89)}}}\n",
      "{{{HAVCR2_mw:n=26, Mann-Whitney p=0.26}}}\n",
      "HAVCR2 scaledTPM, Bootstrap (samples = 100) AUC:0.645937198978, std=0.13250024697\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patient_id</th>\n",
       "      <th>aa_change</th>\n",
       "      <th>hvar_pred</th>\n",
       "      <th>hvar_prob</th>\n",
       "      <th>hdiv_pred</th>\n",
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       "  <tbody>\n",
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       "Empty DataFrame\n",
       "Columns: [patient_id, aa_change, hvar_pred, hvar_prob, hdiv_pred]\n",
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    },
    {
     "data": {
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16sWPP/6olufOSfLnn3+WVWhCiHKqwOQlKyuLH3/8kR07dhAVFaV+I8odvDt0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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd3249daa50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "create_gene_summary('HAVCR2')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patient_id</th>\n",
       "      <th>IC Level</th>\n",
       "      <th>missense_snv_count</th>\n",
       "      <th>Liver Mets</th>\n",
       "      <th>HAVCR2</th>\n",
       "      <th>os</th>\n",
       "      <th>deceased</th>\n",
       "      <th>pfs</th>\n",
       "      <th>progressed</th>\n",
       "      <th>benefit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2131</td>\n",
       "      <td>IC2</td>\n",
       "      <td>412</td>\n",
       "      <td>0</td>\n",
       "      <td>1663.49700</td>\n",
       "      <td>630</td>\n",
       "      <td>False</td>\n",
       "      <td>560</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2849</td>\n",
       "      <td>IC1</td>\n",
       "      <td>304</td>\n",
       "      <td>0</td>\n",
       "      <td>1142.89290</td>\n",
       "      <td>586</td>\n",
       "      <td>True</td>\n",
       "      <td>75</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2389</td>\n",
       "      <td>IC2</td>\n",
       "      <td>57</td>\n",
       "      <td>0</td>\n",
       "      <td>886.85240</td>\n",
       "      <td>651</td>\n",
       "      <td>False</td>\n",
       "      <td>646</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0522</td>\n",
       "      <td>IC1</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>620.08135</td>\n",
       "      <td>76</td>\n",
       "      <td>True</td>\n",
       "      <td>58</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1994</td>\n",
       "      <td>IC0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>496.90472</td>\n",
       "      <td>403</td>\n",
       "      <td>True</td>\n",
       "      <td>121</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   patient_id IC Level  missense_snv_count  Liver Mets      HAVCR2   os  \\\n",
       "7        2131      IC2                 412           0  1663.49700  630   \n",
       "10       2849      IC1                 304           0  1142.89290  586   \n",
       "9        2389      IC2                  57           0   886.85240  651   \n",
       "2        0522      IC1                  23           1   620.08135   76   \n",
       "6        1994      IC0                   3           0   496.90472  403   \n",
       "\n",
       "   deceased  pfs progressed benefit  \n",
       "7     False  560      False    True  \n",
       "10     True   75       True   False  \n",
       "9     False  646      False    True  \n",
       "2      True   58       True   False  \n",
       "6      True  121       True   False  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cohort_df.merge(\n",
    "    kallisto_data[\n",
    "        ['patient_id', 'HAVCR2']\n",
    "    ])[\n",
    "    ['patient_id', 'IC Level', col, 'Liver Mets', 'HAVCR2', 'os', 'deceased', 'pfs', 'progressed', 'benefit']\n",
    "].sort_values('HAVCR2', ascending=False).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mann-Whitney test: U=93.0, p-value=0.388495557235 (two-sided)\n",
      "{{{LAG3_plot}}}\n",
      "{{{LAG3_benefit:202.00 (range 22.00-1652.00)}}}\n",
      "{{{LAG3_no_benefit:135.00 (range 18.00-575.00)}}}\n",
      "{{{LAG3_mw:n=26, Mann-Whitney p=0.39}}}\n",
      "LAG3 scaledTPM, Bootstrap (samples = 100) AUC:0.616840224351, std=0.130472948334\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patient_id</th>\n",
       "      <th>aa_change</th>\n",
       "      <th>hvar_pred</th>\n",
       "      <th>hvar_prob</th>\n",
       "      <th>hdiv_pred</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [patient_id, aa_change, hvar_pred, hvar_prob, hdiv_pred]\n",
       "Index: []"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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aODk50bVrV2OFKYQwomITloMHD7Jq1Sp27tyJTqdDVVVq1KhB7969eeutt8oj\nRiHEP1zHjh3p2LEj8DBhAZg9e7YxQxJCVDCFJixhYWGsXr2ay5cva12zTk5OvPnmm3Tt2hVzc/Ny\nC1II8eQ4ffq0sUMQQlRAhSYss2bNQlEUVFWlQYMG9O/fn5deegl42OvyZzIBVwhRGkxNTdHpdOzZ\ns4c//viDjIyMfHWGDRtmhMiEEMZk0Dos165dIzg4uMg6BS3yJIQQJZWUlMSAAQOIi4srtI4kLEI8\neYpMWGSVWyFEeZs3bx7nz58v9HhJF467fv06M2bM4MCBA6iqSsuWLfn3v/+NjY1NsecmJiYyZ84c\noqOjSUpKol69enTt2hV/f38qV65cojiEEI+n0ISld+/eZXLBrVu3EhERwenTp7l79y42NjZ06tQJ\nf39/LC0ttXqpqanMmjWLyMhIMjMzcXJyIiAggBdffFGvvaysLIKDg4mIiCAtLQ0HBwfGjRuHi4uL\nXj1VVQkNDWXNmjXcvn2bRo0aMWLECDp16lQmr1MI8dfs27cPRVHo2bMn69evR1EUJk6cyMqVKzEx\nMeHdd981uK2MjAz8/PywsLDQlmAIDg5mwIABbNy4kaeeeqrQc9PT0xk4cCA6nY7Ro0djY2PDyZMn\nCQkJ4fLlywQFBT32axVCGK7QhCUwMLBMLhgWFkbdunX56KOPqFevHmfPnmXevHlER0ezevVqrZ6/\nvz+JiYlMnjwZKysrFi1ahJ+fHxs2bKBu3bpavYCAAKKiopgwYQK2traEh4fz7rvvsmbNGuzt7bV6\nc+bMISwsjLFjx9KkSRM2bdrEqFGjWLRoEW3atCmT1yqEKLnr168DMH78eG3X+IEDB+Lh4UHPnj1J\nSkoyuK01a9aQkJDA1q1beeaZZwB48cUX6dy5M6tXr2bgwIGFnhsTE8Ply5dZvHgxLVu2BMDNzY3k\n5GTCwsLIzMyUnaOFKEfFzmHJysrSumdfeOGFx346aOHChTz99NPaz66urlhZWREQEMChQ4do0aIF\nO3bs4NixYyxbtgxXV1fg4RNK3t7efPvtt3z88cfAw6W6N23axMyZM7Xdol1dXfHx8SEkJIT58+cD\nD8fEv/vuO/z9/bUblJubG5cuXeLLL7+UhEWICsTU1JScnByefvppKlWqhE6nIykpSUs4Vq9ejb+/\nv0Ft7dq1C0dHR+1cAFtbW5ydnYmMjCwyYcnOzgagatWqeuXVqlUjNzdXhsyFKGcmRR1cvnw57u7u\n9O3bl74LsiMUAAAgAElEQVR9++Lu7s6yZcse64KPJit5XnnlFVRV1baV37VrF3Xq1NGSFXh402jf\nvj2RkZFaWWRkJGZmZnoLSZmamuLj48O+ffu0G87evXvJycmhR48eetft0aMH586dIyEh4bFekxCi\n9FSvXh2AtLQ0atWqBcCECRMYP348AMnJyQa3FRcXxwsvvJCv3M7Ojvj4+CLPbdmyJc8++yyzZ88m\nPj6eBw8ecPDgQZYtW8abb75Z5HCSEKL0FZqwREZGMn36dNLT01FVVVvZNjAwkB07dpRqENHR0SiK\ngp2dHVD0TSYxMZH09HQA4uPjsbW1zdcta2dnR3Z2NpcvX9bqmZub07Bhw3z1VFUt8mkEIUT5ev75\n5wG4cuUKLi4uqKrK/v372blzJ4qi0KRJE4PbSk5O1hKgR1WvXp3U1NQizzU3N2flypXk5ubi4+OD\ns7MzgwcPxsvLi//+978le1FCiMdW6JDQ8uXLgYeTVatWrYqqqty/fx9VVVm+fDkdOnQolQBu3LjB\nvHnzaNmypXYjSk5OxtbWNl/dvBtPamoqlStXJiUlpcCbUY0aNbR2AFJSUqhWwPbYefVSUlJK5bUI\nIR5f3759adCgARkZGYwcOZJ9+/Zp/5Zr1KhBQEBAucSRlZXFqFGjuHPnDl988QX16tXj5MmTfPXV\nV5iYmPDJJ5+USxxCiIcKTVjOnDmDoiiMHj1aGy+eP38+ISEhnD17tlQu/uDBA95//33MzMyYMWNG\nqbQphPh78/HxwcfHR/t5+/btHDx4EFNTU1xcXLQPGoaoXr16gR9IUlJSsLKyKvLctWvXcvjwYbZv\n367NgXFxcaFq1apMnjyZN998U1tMUwhR9godEkpLSwPQm5Q2ePBgvWOPIzMzE39/fxISEli8eLHe\nkz9F3WQA7UZjZWVVYL1HP43l1Sso5rx6BfXSCCEqBisrKzp37kyHDh2wtLRkyZIlBp9rZ2dX4JBv\nXFwcjRs3LvLcc+fOYWVlpTdhF/435664OTBCiNJVaMKSNwP+0fkhpTXJLCcnhw8++IAzZ87wzTff\naHNX8hR2k4mPj8fGxkZbsMnOzo6rV6+SmZmpVy8uLg4zMzNtzoqdnR1ZWVlcuXIlX71H584IIYzr\nzp07nDp1isTERL1yVVX56aef6Ny5M7NmzTK4PS8vL44fP87Vq1e1sqtXr3L06FG8vb2LPLd27dqk\npqbmu28cP34cRVH0PmQJIcpesY81FzZe/Gi5oigGD+moqspHH31EdHQ0ixYt4tVXX81Xx8vLi3Xr\n1nH48GFtAbh79+6xc+dOvSd9vLy8mDdvHlu2bNEea9bpdGzZsgVPT0/MzMwAaNOmDaampmzcuJER\nI0Zo52/cuJEXXniBBg0aGBS7EKJsZGVlMXHiRLZu3aqVNWvWjLlz56LT6fjwww85efIkqqqWaKXb\nfv36sXLlSoYPH86oUaMACAkJoX79+vTv31+rd+3aNTp06MDIkSMZPnw48HDxzCVLljBkyBCGDRum\nLRy3YMECmjZtSvPmzUvp1QshDFFswpK3cFOevJvFn8sNTVg++eQTtm3bxvvvv89TTz3F8ePHtWP1\n6tWjbt26eHt74+joyPjx4xk/fjzVqlUjNDQUgPfee0+r7+DgQLdu3QgMDCQ7OxtbW1tWrVpFQkKC\n3iqU1tbWDBo0iNDQUCwtLbWF46Kjo1mwYIFBcQshyk5oaChbtmzRKzt69CgTJkwgPT2dEydOaOV/\nXsW6KJUrV2bp0qXMmDGDiRMnakvzBwQE6C2tn/ck5KNrqzRo0IA1a9bw1VdfMXfuXO7evUu9evV4\n4403ZC8jUa52d+9OTilMxXhUpQIeRKnoSmUvoZJ84omKikJRFBYuXMjChQv1jo0YMYKRI0eiKAqh\noaHMmjWLqVOnkpWVRbNmzVi+fHm+btiZM2cSHBzM3LlzSUtLw97ensWLF+utcgswduxYLC0tWbZs\nmbY0/9y5c2WXaSEqgG3btgFgYmKit9zAr7/+qtV56aWXGDt2bIn/zdarV4+QkJAi6zRo0KDAhwka\nN25c5MavQpSHnLQ0OuzebewwjK7cl+bfuXOnQfWsrKyYPn0606dPL7Keubk5EydOZOLEiUXWUxSF\nYcOGyScjISqgK1euoCgKCxYs0BKS3bt3M2zYMBRFwc/Pj0mTJmFiUuRal0KIf7By3/xQCCH+LCMj\nA0VR8PT01Mpat26tff/hhx9KsiLEE67QhMXe3h4TExPOnDlTnvEIIZ5gJ06cKHAo+vz583rlzs7O\n5RmWEKICKJU5LEIIURreeustvZ/z5sc9Wq4oinyQEuIJVOxTQkIIUV7kQ5IQojDFJiyJiYkG3UTq\n169fKgEJIZ48zZo1K9HThkKIJ0+xCYuXl1exjUgXrRDicaxatcrYIQghKrhiExbpohVCCCGEsRWb\nsMhQjxBCCCGMrdiExdCF3oQQQgghyoqsxCSEEEKICk8SFiGEEEJUeIUOCbm6upZnHEIIIYQQhSo0\nYVm+fHl5xiHEEyUuLo7w8HDu3r1L+/bt6dmzp7FDqnB0Oh2xsbEkJyfTqlUrY4cjhDCyQhMWPz8/\ngxtRFIWlS5eWSkBC/NOlp6czZcoU0tLSALhw4QKWlpZ06NDByJFVHNu3b2fatGncuXNHW+dp0KBB\nXLt2jSlTptCyZUtjhyiEKGeFJizR0dEGrTypqqqsUClECcTGxmrJSp7ffvtNEpb/d+TIEcaMGUNu\nbq7eOlCtW7fm888/Z+vWrZKwCPEEKnLSraqqxX4JIUqmfv36mJjo/9N75plnjBRNxbNo0SJ0Oh0N\nGzbUK2/bti0AR48eNUZYQggjKzRhiYyM1L6+//57ateujaurK2FhYWzZsoWwsDBcXV2xtrYmPDy8\nPGMW4m+tbt26DBw4EHNzcwBeeeUVevXqZeSoKo7jx4+jKAqhoaF65XkJzI0bN4wRlhDCyAodEmrQ\noIH2fVBQELdv32b9+vXUrFkTgEaNGmFnZ0fr1q1ZunQpzs7OBl/0xo0bhIaGcvr0aWJjY8nIyGDn\nzp16q+omJCTg7e2d71xFUfjtt9+oWrWqVpaVlUVwcDARERGkpaXh4ODAuHHjcHFx0TtXVVVCQ0NZ\ns2YNt2/fplGjRowYMYJOnToZHLsQpaFXr1506tSJ+/fvU7t2bWOHU6Hcv38f0L8HAdowWkZGRrnH\nJP4+dnfvTs6fhlz/7ipVq2bsECqEYle6Bdi9ezcA9+7d0xKWvJ8B9u3bV6KLXrp0iW3btvHyyy/j\n4uLC/v37C607bNiwfBswWlpa6v0cEBBAVFQUEyZMwNbWlvDwcN59913WrFmDvb29Vm/OnDmEhYUx\nduxYmjRpwqZNmxg1ahSLFi2iTZs2JXoNQjyuKlWqUKVKFWOHUeHUqVOHxMREjh07ple+ZMkS4GEP\nlRCFyUlLo8P//80S/ywGJSympqYADB06lH/961/Uq1eP69evs2LFCr3jhnJzc9OSnLVr1xaZsNja\n2vLqq68Wejw2NpZNmzYxc+ZMrVvd1dUVHx8fQkJCmD9/PgBJSUl89913+Pv7M3DgQC2OS5cu8eWX\nX0rCIkQF4enpyffff8+IESO0Mh8fHy5cuICiKHh6ehoxOiGEsRi00m3Hjh1RVZXLly8zffp0Pvjg\nA6ZPn86lS5dQFMWoQyqRkZGYmZnRtWtXrczU1BQfHx/27dtHdnY2AHv37iUnJ4cePXrond+jRw/O\nnTtHQkJCucYthCjY+++/T/Xq1UlJSdGeQLxw4QKqqmJlZYW/v7+RIxRCGINBCUtAQABubm4FPiXk\n6urKpEmTyizAoKAgbejo/fff59y5c3rH4+PjsbW1xcLCQq/czs6O7OxsLl++rNUzNzfP9+SBnZ0d\nqqoSFxdXZq9BCGE4GxsbVq5cibu7O4qiaEsnuLu7Ex4eTr169UrU3vXr1/nwww9xcXGhefPmfPDB\nByQmJhp8fnx8PKNGjcLd3R1HR0e6dOkiC2sKYQQGDQlVrVqVZcuWsW/fPn799VeSk5N5+umnadGi\nRZl1z5qbm/PGG2/g6enJ008/zYULF1i4cCFvvvkmP/zwA40aNQIgJSWF6tWr5zu/Ro0aACQnJ2v1\nqhUwcSmvXkpKSpm8DiFEyTVu3JglS5bw4MEDkpOTqVGjxl+a75ORkYGfnx8WFhZ8/vnnAAQHBzNg\nwAA2btzIU089VeT5J0+eZODAgbRo0YLp06dTrVo1Ll26pE0MFkKUH4MSljyenp7lNn5cu3ZtPvnk\nE+3n5s2b07p1a3x8fFi4cCGzZs0qlziEEOWrU6dO9OnTh169elG3bt3Hmpi8Zs0aEhIS2Lp1q7bW\nzYsvvkjnzp1ZvXq1Np+tIKqqMmnSJFq1akVISIhW7ubm9pfjEUL8dQbv1pyVlcWSJUsYMmQI/fr1\nAyAiIoL169eTlJRUZgE+ql69ejRv3pwTJ05oZVZWVgX2juT1rOT1oFhZWeVbXfTRegX10gghyt/l\ny5eZM2cOXl5eDBkyhO3bt5OTk/OX2tq1axeOjo56C/PZ2tri7OxMZGRkkef++uuvXLhwocikRghR\nfgxKWDIyMnj77beZNWsWUVFRnDx5Enj4uHNAQAAbNmwo0yCLYmdnx9WrV8nMzNQrj4uLw8zMTJuz\nYmdnR1ZWFleuXMlXT1EU7Ozsyi1mIUThrK2tUVUVnU7Hvn37GDVqFK1btyYwMJDff/+9RG3FxcXx\nwgsv5Cu3s7MjPj6+yHNjYmKAh/e//v3707RpU1q2bMlnn32W734jhCh7BiUsCxYs4OTJk/mW4u/Z\nsyeqqrJnz54yCe7Prl27xpEjR3ByctLKvLy8yM7OZsuWLVqZTqdjy5YteHp6YmZmBkCbNm0wNTVl\n48aNem1u3LiRF154Id8iVUII49i3bx+LFy+md+/eWFpaoqoqd+/eZdmyZfTq1Yu+ffsa3FZycnKB\nvafVq1cnNTW1yHNv3ryJqqqMGTOG1q1bExYWxpAhQ/jhhx8YN25ciV+XEOLxGDSHZevWrSiKwvjx\n47WJawCOjo7Aw4XgSmrbtm0AnDp1Skt6rK2tsba2xtXVlVmzZqEoCk5OTlSvXp0LFy7wzTffUKlS\nJb3HGh0cHOjWrRuBgYFkZ2dja2vLqlWrSEhIICgoSKtnbW3NoEGDCA0NxdLSUls4Ljo6mgULFpQ4\nfiFE2TAxMaFVq1a0atWKqVOnsnv3bn7++Wd27txJTk4Op0+fLpc48p5O6tmzJyNHjgQervGUk5ND\nUFAQFy5c4Pnnny+XWIQQBiYs165dA+Dtt9/WS1gqV64MwO3bt0t84VGjRmlrLCiKwrRp04CHN4Rl\ny5ZhZ2fH6tWr+fHHH7l//z41atTAw8ODESNG8Nxzz+m1NXPmTIKDg5k7dy5paWnY29uzePFivVVu\nAcaOHYulpSXLli3TluafO3eutqmaEKJiuXXrFhcvXuTixYvodLoSn5+3nsufpaSkYGVlVeS5efPf\n/rwztKenJ19++SWxsbGSsAhRjgxKWCwsLMjJycn3KN+pU6eA/yUuJREbG1vk8T59+tCnTx+D2jI3\nN2fixIlMnDixyHqKojBs2DCGDRtmcJxCiPKVlJTEli1biIiI4Pjx41q5qqpYWFjQsWNHg9uys7Mr\ncI2luLg4GjduXOy5QoiKw6CE5aWXXiImJoYvvvhCK/v555+ZM2cOiqLk68kQQoi/qnXr1uTm5gJo\n8+aaNm1Knz598PX1LXA9pcJ4eXkxe/Zsrl69iq2tLQBXr17l6NGjxc5DadOmDWZmZuzbt4927dpp\n5Xv37kVRFF555ZUSvjIhxOMwKGF54403OHLkCOvWrdOGccaPH6+N8eY95iyEEI8rb+jH2tqaHj16\n0KdPnwKf9DFEv379WLlyJcOHD2fUqFEAhISEUL9+ffr376/Vu3btGh06dGDkyJEMHz4ceDgkNHTo\nUBYuXIilpSXu7u6cPHmS+fPn07t3b71HpYUQZc+ghKV79+4cO3aM8PDwfMfefPNNfH19Sz0wIcST\nqV27dvTp04f27dtTqVKJ1rbMp3LlyixdupQZM2YwceJEVFWlZcuWBAQE6A1lP7rdyKNGjhxJ1apV\nWbVqFd999x21a9dmyJAhvP/++48VlxCi5Ay+G/z3v/+lR48e7Ny5k6SkJKytrWnfvr3eI8ZCCPG4\nFi5cWKrt1atXT2+l2oI0aNCAs2fPFnhs4MCBsnicEBVAiT6+ODo6ao8yCyFEaVm4cCGKouDv729Q\nwiIT54V48hSasKxfv75EDfXq1euxgxFCPJnmzJmDiYkJ/v7+2mT+okjCIsSTp9CEZdKkScXeNPIo\niiIJixDisTw6f+TPc0keZeh9SVR8u7t3J6eAPd4eR6USPEUm/l6KHBIq6qYhhBClJSwsrMDvxT9b\nTloaHXbvNnYY4m+i0IQlMDCwPOMQQjzBPDw8CvxeCCHyFJqw9O7duzzjEEIIAF5++WUURdFW0n7U\n4MGDURSFxYsXGyEyIYQxPd4iB0IIUcp0Ol2h81QOHDggc1iEeEIZnLBs2LCBJUuW8Mcff5CZmal3\nTFEUzpw5U+rBCSFEnrw9gSRhEeLJZFDCsnnzZiZOnIiiKDIRVwhR6r7++msWLFigV9a0aVO9n/OW\n7K9Vq1a5xSWEqDgMSlhWrlwJwFNPPUV6ejqKolC9enWSk5OxsrIq0WZkQgjxZ6qqkpOTU+jPj2rf\nvn15hSWEqEAMSlh+//13FEUhLCyMN954A4Bff/2Vr7/+mvDw8FJfSlsI8WSxsbHB2dkZgJiYGBRF\noVmzZtpxRVGoUaMGjo6O+Pn5GStMIYQRGZSwpKenA9CkSRNt/Fin0zF48GDmzZvHZ599xtKlS8su\nSiHEP1qfPn3o06cPAPb29sD/enaFEAIMTFgsLS1JTU3Vvr9//z579+7VhoJOnDhRdhEKIZ4o27dv\nN3YIQogKyKCEpU6dOqSmpnLnzh0aN27MiRMnGD58uHa8evXqJbrojRs3CA0N5fTp08TGxpKRkcHO\nnTupX7++Xr3U1FRmzZpFZGQkmZmZODk5ERAQwIsvvqhXLysri+DgYCIiIkhLS8PBwYFx48bh4uKi\nV09VVUJDQ1mzZg23b9+mUaNGjBgxgk6dOpUofiFE6YqJiQHA2dmZ27dvA2j/LUje8JEQ4slhUMLS\npEkTzp8/z/Hjx+nZsyfHjx/XO17SfYQuXbrEtm3bePnll3FxcWH//v0F1vP39ycxMZHJkydjZWXF\nokWL8PPzY8OGDdStW1erFxAQQFRUFBMmTMDW1pbw8HDeffdd1qxZo3Uvw8MN1sLCwhg7dixNmjRh\n06ZNjBo1ikWLFtGmTZsSvQYhROl56623MDEx4cyZM7z11ltFProsyygI8WQyKGGZMmUK48ePx9LS\nksqVK3Pv3j02b96MqakpHTt2ZMiQISW6qJubG/v27QNg7dq1BSYsO3bs4NixYyxbtgxXV1cAnJyc\n8Pb25ttvv+Xjjz8GIDY2lk2bNjFz5kwtcXJ1dcXHx4eQkBDmz58PQFJSEt999x3+/v4MHDhQi+PS\npUt8+eWXkrAIYWSGbn4ohHgyGZSwVKlShSpVqmg/Dx06lKFDh5ZZUAC7du2iTp06WrICULVqVdq3\nb09kZKSWsERGRmJmZkbXrl21eqampvj4+PDNN9+QnZ2NmZkZe/fuJScnhx49euhdp0ePHnz88cck\nJCTQoEGDMn1NQoiC+fv7a70qw4YNM3I0QoiKyKCE5eTJk8THx2Nra6s3L+Tw4cNcvXqVxo0b88or\nr5RqYHFxcbzwwgv5yu3s7NiwYQPp6elUrlxZi8vCwiJfvezsbC5fvkzjxo2Jj4/H3Nychg0b5qun\nqipxcXGSsAhhJGPGjNG+Hz16tBEjEUJUVCaGVJo9ezYBAQEkJSXplScnJzNp0iQ+//zzUg8sOTm5\nwMm8eWV5Ty2lpKQUWK9GjRpaO3n1ClrgLq9eSkpK6QQuhCh1p06d4pdffuHOnTvGDkUIYSQG9bCc\nO3cOgBYtWuiVu7m56R0XQojHtWTJErZu3UqXLl0YOHAg06dPZ8WKFcDDZRWWL1+Og4ODkaMUQpQ3\ng3pY7t27B/xvL488eUtn379/v5TDetiTUlCvR16ZlZWV9t+C6uX1rOT1oFhZWZGWllZovZI+mi2E\nKBuRkZEcP36c5557jrt377Jy5UpUVUVVVe7du8fXX39t7BCFEEZgUMJibW0NwPfff69XvnbtWgBq\n1qxZymE9nFuStzvro+Lj47GxsaFy5cpavatXr+bbQTouLg4zMzNtzoqdnR1ZWVlcuXIlXz1FUbCz\nsyv11yCEKLk//vgDAAcHB06cOIFOp8PT05ORI0cCcPToUWOGJ4QwEoOGhFxcXNi8eTNz587l4MGD\n2NnZER8fz6FDh1AUJd8CbaXBy8uLdevWcfjwYa39e/fusXPnTr0nfby8vJg3bx5btmzRHmvW6XRs\n2bIFT09PzMzMAGjTpg2mpqZs3LiRESNGaOdv3LiRF154QSbcClFB5PWY1qxZk/j4eBRFoWfPnnTq\n1ImvvvrqiZ1vtrt7d3IK6CX+O6skG+eKEjAoYXnvvffYvn07Op2O6OhooqOjgYdrJVSqVIn33nuv\nxBfetm0b8HAynaqq7NmzB2tra6ytrXF1dcXb2xtHR0fGjx/P+PHjqVatGqGhoVo8eRwcHOjWrRuB\ngYFkZ2dja2vLqlWrSEhIICgoSKtnbW3NoEGDCA0NxdLSUls4Ljo6Ot+29kII47G0tCQlJYXY2Fit\nN+XZZ58lOzsbQOtdNdT169eZMWMGBw4cQFVVWrZsyb///W9sbGxK1E5oaChBQUE0b96c8PDwEp1b\nGnLS0uiwe3e5X1eIisLglW6Dg4P573//q835gIfzQz777LO/NAFu1KhR2roLiqIwbdo04OGib8uW\nLUNRFEJDQ5k1axZTp04lKyuLZs2asXz5cr1VbgFmzpxJcHAwc+fOJS0tDXt7exYvXqy3yi3A2LFj\nsbS0ZNmyZdrS/HPnzqVt27Yljl8IUTaef/55jh49yuuvvw6Aubk5L730EhcvXgQebhViqIyMDPz8\n/LCwsNCeZgwODmbAgAFs3LiRp556yqB2rly5woIFC6hVq1bJXowQotQYlLAAdOzYkTZt2hATE8Pt\n27epVasWzs7O+dY/MVRsbGyxdaysrJg+fTrTp08vsp65uTkTJ05k4sSJRdZTFIVhw4bJwlRCVGB+\nfn4cPXpUW+22d+/eWFhYaKtjOzo6GtzWmjVrSEhIYOvWrTzzzDMAvPjii3Tu3JnVq1drq14X55NP\nPqFHjx5cuHCB3Nzckr0gIUSpMDhhAbCwsMDDwwOAmzdv8vvvv2Nvb4+5uXmZBCeEePJ06dKFunXr\ncvjwYWxtbenSpQsAL7/8MoGBgSVapHLXrl04OjpqyQqAra0tzs7OREZGGpSwREREcPbsWYKDg/Xm\nvwkhypdBCcv69evZtWsXrVu3pm/fvoSGhjJnzhxUVaVOnTosX7483wqyQgjxVzVr1oxmzZrplbm7\nu5e4nbi4OLy9vfOV29nZafPoipKamsrMmTOZMGGCtpSCEMI4DHqseePGjWzfvp1q1apx7949vvrq\nK3Jzc1FVlZs3bxISElLWcQohniCZmZksXrwYPz8/fH198fPzIywsjKysrBK1U9SK2XmrZRdl1qxZ\nNGrUqMQ70gshSp9BPSx566E4Ojpy/PhxsrKycHJy4sUXX+T777/XnhoSQojHlTdR9uTJk1pZfHw8\nv/32G1u2bGH58uV/ee5cSRw+fJiNGzeyfv36Mr+WEKJ4BvWw3L17F4BatWpp6yL079+fSZMmAeTb\nY0gIIf6qb7/9lhMnTmir2z76dfLkSb799luD2ypqxezihnimTJlC3759qVOnDmlpaaSmpqLT6dDp\ndKSlpZW4t0cI8XgMSliqVKkCQEJCAqdPnwbgueee046Xx6cdIcSTYevWrSiKQsuWLfnxxx85ePAg\nP/30E61atUJVVbZs2WJwW4WtmB0XF0fjxo2LPDc+Pp7Vq1fj6uqKq6srbm5uxMTEcOzYMdzc3Fi9\nenWJX5sQ4q8zaEjI1taWM2fO8Nprr5Geno6pqSkvvvgiiYmJALI2gRCi1ORtnzF79mxt24+nn36a\nmTNn0rp163zbaxTFy8uL2bNnc/XqVWxtbQG4evUqR48eZdy4cUWeu3z58nxl06dPJzc3l8mTJ+s9\neSSEKHsG9bD0798fVVW5f/8+ubm5dOzYEUtLS3799VcAXn311TINUgjx5DAxeXhb+vP+YHlDMHnH\nDdGvXz8aNGjA8OHDiYyMJDIykhEjRlC/fn369++v1bt27RpNmjRh/vz5Wllez8qjX9WqVaNatWq4\nuLjkW8BSCFG2DOph6devH1ZWVtq6CG+99RYAtWvXZtSoUdraLEII8biee+45YmNjGTVqFCNGjMDG\nxobExERtC41GjRoZ3FblypVZunQpM2bMYOLEidrS/AEBAXpL/D86T6Y4eSt0CyHKl8ELx3Xp0kVb\nwClPp06dSj0gIcSTrXv37pw9e5ZTp07x/vvv6x1TFIXu3buXqL169eoVu/RCgwYNOHv2bLFtFTRM\nJIQoH4b3rQohRDnw8/PTJtj++atVq1b4+fkZO0QhhBGUaGl+IYQoa5UqVeKbb75hw4YN7Nmzh6Sk\nJGrWrEnbtm3p0aNHieawCCH+OSRhEUJUOCYmJvTu3ZvevXsbOxQhRAUhCYsQRhIZGckPP/yATqej\nZ8+e+Pj4GDskozp9+jRBQUHaCreOjo6MGjWKpk2bGjkyIURFIAmLEEYQHx9PSEiI9lTKokWLsLW1\nxdHR0ciRGcf58+d5++23yczM1N6TqKgofvvtN77//ntefPFFI0cohDA2SViEMMB3333Hvn37Sq29\n5OTkfI/QzpgxA0tLy7/cpqenJ4MHD37c0Ixi4cKFZGRk5CvPyMhg4cKFBAUFGSEqIURFUmTC8uDB\nAzIv5rEAACAASURBVA4ePEilSpVo2bIlZmZmPHjwgLVr13Lx4kUaNmzI66+/TtWqVcsrXvEX3Lx5\nk+zsbBo0aGDsUMT/y8nJyVdWqdKT+/khOjoaRVFo27Ytw4cPR1VV5s+fz549e2RzVSEEUETCcv36\ndd544w1u3LgBPNyTY+nSpbz33nt66xWsXbuW77//vkySlujo6AIfYbSystK7iaWmpjJr1iwiIyPJ\nzMzEycmJgICAfN3IWVlZBAcHExERQVpaGg4ODowbNw4XF5dSj70iUFWVkJAQIiMjAWjWrBkff/wx\n5ubmRo7s72fw4MGl0nuh0+mIiYkhODgYnU6Hqqrk5ubSrVs3Bg0a9MQuSpa3geqMGTOwtrbWvm/V\nqpW2+aoQ4slWaMKyYMECrl+/rv0cFxfH8OHDOXPmjF69P/74g6VLlzJixIgyCVBRFP7zn//wyiuv\naGWmpqZ6dfz9/UlMTGTy5MlYWVmxaNEi/Pz82LBhg97y2QEBAURFRTFhwgRsbW0JDw/n3XffZc2a\nNdjb25dJ/MZ07NgxLVkBOHr0KDt37sy3AKAoPzNmzOC3334DHv6/PWfOHGxtbTEzMzNyZMal0+lQ\nFEVLVgBtH6Hc3FxjhSWEqEAKTVgOHjyIoihYWVnRokULDh06xLFjx1AUBTs7O/r27cuPP/7IuXPn\n2LVrV5klLADPP/98ofsV7dixg2PHjrFs2TJcXV0BcHJywtvbm2+//ZaPP/4YgNjYWDZt2sTMmTPp\n1asX8HCvEB8fH0JCQvT2EPmneDThLKrsn2rChAncvn3b2GFocnJySE5O1n5WVZUJEyZQrVo1I0ZV\nuFq1avH555+X6zV//vnnApfH/3N5SVe7FUL8/RU5JAQwb9483NzcOHjwIIMGDQLgs88+w9HREWdn\nZ15//XUuXrxYZgEWt7fHrl27qFOnjpasAFStWpX27dsTGRmpJSz/1959x9d0/w8cfx1ZQiQSK8uo\nBDFaNUL5+hpRFOVHtdpSe1RrVs0+iqoaRa1vUFRao2ZbFU2MilhBNb5mxUiokRCETJk35/dHes83\nVxKZcq94Px8Pjzafe8b7ntx78j6fGRAQgIWFBZ07d9a2MzMzo2vXrqxZs4bU1NQS95TbtGlTLC0t\nDRaNe5HWfXrw4AH37t3HzMo6942LgZpNTUFySiopMfFGiObpdMmJRjnvxIkTDX7WN5FlLi/I9PxC\niOdfrr38Xn31VQAaN26slembT+rUqQOQbe/+ojRx4kQePnxIuXLlaNWqFRMmTMDJyQnIaKqqVatW\nln3c3d3ZuXMniYmJWFtbExYWhqurK1ZWVlm2S01N5ebNm7i5uT3T91HcKlWqxKxZs/jll19ISUnh\nzTff1H5nLwozK2sqN+lu7DCAjOT74YX9pCX80ydDKYV9vbZYlqto3MCyce+Ub7GfMy8LDwohXlw5\nJix2dnY8ePCA2NhYKlasaPCHXv//8fEZT4bPapRQuXLlGDx4MM2aNcPGxoaLFy/y7bff8t5777Fj\nxw4cHByIjo7G1dU12/gho0OutbU1MTExWllm5cuXBzCoqi9J6tatq9UyCeNSFAX7em1JuncdXWoS\npStUw6JseWOHZRLefPPNF7bDsRAib3JMWF566SUePHjAX3/9RZs2bQAMOnACXLt2DUCr7ShqdevW\npW7dutrPTZs2pWnTprzzzjts3LiRMWPGPJPzCvGslDKzoIxTbdR0HakJj9ClJGFmWdrYYRndwoUL\njR2CEMLE5ZiwvP3227i4uBAbG6uVPTmPx549e4CM4bLFpV69etSoUYNz584BGTUpMTExWbbTl9na\n2mr/jYiIyLKdvmZFX9MixLOW+jia6JDDpKcmgVKKctVfpYyju7HDEkIIk5ZjwtK9e3e6d3962/+I\nESMYNGhQtk0txcXd3Z1jx45lKQ8LC8PJyQlra2ttu/3795OcnGzQvBUaGoqFhQXVqlUrtpjFiy3+\n1oWMZAVATSf+5jlKV6pOKbOS1elbCCGKUqHWaa9YsSIuLi7FOtPt+fPnuX79utYZ2MvLi8jISIKD\ng7Vt4uPjOXDgAO3bt9fKvLy8SE1NZffu3VqZTqdj9+7dtGrVqsSNEBKmKz35scHPanoaalqKkaIR\nQojnQ441LDqdjujoaIPJnHKak2HkyJGFWgMlJxMnTqRatWrUrVtX63S7evVqHB0d+eCDDwBo3749\nDRs2ZOLEiUycOJFy5cqxevVqAIYOHaodq27dunTp0oW5c+eSmpqKq6srmzdvJjw8XNYpEcWqdIWq\nxD/+XydvC5sKmFkV/fdHCCFKkhwTFl9fXz777DOaNm3Khg0bgIwF4LLrye/m5kavXr2KPLhatWrh\n5+fH+vXrSUxMpFKlSnTq1InRo0drfU4URWH16tV8/fXXzJw5k5SUFBo1asSGDRsMZrkFmDdvHosX\nL2bp0qXExcXh4eHB2rVrS+Qst8J0lXH2QDEzJ/lRBObWtpR1qZv7TkII8YLLMWE5ePAgAG+99VaW\n1zLPl6AoCkeOHHkmCcvw4cMZPnx4rtvZ2toye/ZsZs+e/dTtLC0tmTx5MpMnTy6qEIXIN0VRKONY\nizKOWecPEkIIkb0cE5bLly8D0KxZsyyvzZ07F4Dw8HC8vb0NFkMUpufevXtERERQt27dLBPnCWGq\nHj58SHBwMNHR0fTu3dvY4QghjCzHhCUqKgoAR0fHLK/17NkTyJjh1tvbm3v37j2j8ERh7dixg3Xr\n1pGeno6trS1ffvklNWvWNHZYQjzVunXrWLRoESkpKSiKQu/evenZsydXr15l0aJFdOzY0dghCiGK\nWY4JS3JyMgAJCQnaXCa//vqrwTb6pqHU1NRnFd8LzcfHh6NHjxZ4//T0dB4+fKj9HBsby/jx4w1W\nxC2sVq1aMXjw4CI7nhCBgYFaLW5m7777Ll988QX79+/PV8Jy9+5d5syZw7Fjx1BVlZYtW/LZZ5/l\nOuHl+fPn2bJlC8HBwURGRmJvb0+TJk0YN25ctrNrCyGerRyHNev/qGX+g+nh4WHQQfX48eOATLpm\nqrJbmyU9mwX4hDAl+s79mdcvA/jXv/4FwIULF/J8rKSkJPr378/169eZP38+CxYs4O+//2bAgAG5\nroHm7+9PWFgY/fv3Z82aNUyYMIGLFy/Sq1cvIiMj8//GhBCFkmMNyyuvvMK+ffuYO3cu1apVo0GD\nBgavX7lyhdmzZ6MoCi+//PIzD/RFNHjw4ELXXkyePNmgj5GZmRmrV6/G3DzXdS+FMIqLFy8CsHjx\nYm1ZEPjfEiD5SRa2bt1KeHg4e/bsoWrVqgDUrl2bTp06sWXLFgYOHJjjvsOGDctSG9moUSPat2/P\ntm3bGD16dJ7jEEIUXo41LPrRQQ8ePKB3794MGTKE2bNnM2fOHIYNG0bPnj0JDw832FaYng8//NDg\nZ51Ox6RJk7QmPyFMjb6J2d7e3qBc368uLS0tz8cKDAykYcOGWrIC4OrqSuPGjbOsjfak7JpOnZ2d\ncXBwkBoWIYwgx8fstm3b0qFDB37//XcAjh07ZjAFvr65oU2bNnTo0OEZhykK6u7du1nKQkND+fLL\nL6lduzbt27eX9nhhUpycnLh58yZHjhzRynQ6HUuWLAGyrmn2NKGhoQYzXuu5u7uzd+/efMcWFhZG\nVFQU7u5Fs/bTwW7dSIuLy9O25uXKFck5hXhePbVd4JtvvmHGjBn8+uuvWfpDKIpC9+7d+fLLL59p\ngKJwPDw8MDMzQ6fTGZSfP3+e8+fP4+fnx6JFiyRpESbDy8uL77//nrFjx2plr732GvHx8SiKQrt2\n7fJ8rOjo6GzXOrOzszNY2DUvdDodM2bMoEKFCkU271RaXByv/zPnlRDi6Z6asFhaWjJ37lyGDh3K\nwYMHuX37NpBRpdq2bVvc3NyKJcjnyaRJk3jw4IGxwwD+VwtmbW1NfHx8ttskJSXx6aefPpOlFQqi\nYsWKOS4BIV4MI0aMYN++fYSHh2sza8f9Uwvh4uKSp8kkn4WZM2dy5swZ1qxZQzmp7RCi2OWp56Wb\nm1uOyUlCQgL79u3T5mZ50T148ID79+5RxogxqECKopCuKKCqWKoqlv+UAfDE8gqpCQkkJCQUe5xP\nepz7Js89XVIC8bfOk5YYi5W9M2Vd66EohVqDtMSxs7Nj69atLF68mIMHD/Lw4UMqVKhA27ZtGTdu\nXL5Wh7ezsyMmJiZLeUxMjDZdQ14sXLiQn376ia+//poWLVrkeT8hRNEp0FCR9PR0jhw5ws6dOwkM\nDCQ5OVkSlkzKAO8YcRTOyfR0Lul/+CdxeUdRsFAU0lWVPaqKvg6oDNDVzAzrbNaIKm7b89GZ8nmk\nqiqPLh9Bl5jRFJH2zwKINlUbPG23F1LFihVzXWojL9zd3QkNDc1SHhoamuca4pUrV7J27VqmTZtG\nt27dCh2TEKJg8vVX9dy5c/j6+uLv78+jR4+AjJtwdgsiCuN5+MTPacBZVaUJUEpReAO4/U95VcCi\nhP7+4uPj0SUncu+Ur7FDAUBV0yEtxaAsITyEx/euGSminOmSE8mhFfG54uXlxYIFC7h9+7bWT+v2\n7ducPn2aCRMm5Lr/+vXrWbp0KePHj6dPnz7POlwhxFPkmrDcunULX19fdu3axY0bNwDDCclKly6d\nbS98YTyOwJOLJVwEygJ1yUhaKqsq14DLQE1VpUwJTVpMSzbXWK57Fk/O+ZSdvE4e17t3bzZt2sTH\nH3+sdeJdtmwZzs7OvPvuu9p2ERERvP7664waNYqPP/4YAD8/P+bOnUvr1q1p3rw5Z8+e1ba3sbGR\nPnxCFLMcE5bNmzfj6+vLmTNntLLsRgoFBQWZTIdNkeFlRSFWVfn7ifKbqkpdRSEhPR1fQL+gwgWg\nO5S4pMXGxoZkHVRu0t3YoWgSH9wg7vopVF0aZta22NdphWJuSdzfp0mJicS8jB3lajTG3Nq4nTrv\nnfLFxsbGKOfObZ6V/NToWltbs27dOubMmcPkyZO1qfmnTp2KtbW1tp2qqto/Pf0s30eOHDEYYg3g\n6enJ+vXr8xyHEKLwckxYZs6ciaIo2hfYwsKCli1b0rFjR6pVq0a/fv0AJFkxQWaKQjMyEpTME/GX\nBf5IT+fyE9unAKGqyislLGExRdYVq1Pa3gVdSiJmpW1QFIWYsJMkPciovUyJSSLm6jEqvNLJyJEa\nT6NGjQySEp1OR3h4OA8ePMDa2pp69erl63iOjo4sW7bsqdu4uLhkWXV+7ty52a5pJIQwjlybhBRF\noVevXkyaNEnrVX/16tVnHtjzKj4+nkRMowOpGWSMFPpntNB1QM0hKTmfns5lI68z9BhQS0LHiVwo\nZuYGNSgpMYYNeGmPY0hPTaaUhVVxh2YSNm/enKVMVVV++OEH5s+fz6BBg4wQlRDC2PI0nvLnn3+m\nc+fOzJgxg2PHjuVramxhPOaAmb6KW1FyTFZQ1YINFxP5pqoq6U90vLUoa7h4aCmrsijmlsUZlslT\nFIVBgwZhbW3NypUrjR2OEMIIcvw7NXz4cH777TciIiKAjHU8tm3bxrZt2yhdunSxBVjUCrrUfF7Z\n2NigPH5s1GHNejpVZWs2KzZnpgBNFIV6ZmbFE9RTbE9Lo6yR+k0Uh+SYSGLD/iQ95TEWNhWwq9UC\nM6sylKvRiPTUZFLjozCzssHWvZmMvHtCeno6Bw4c4PHjx9kOUxZClHw5/lUdP34848eP588//8TX\n15c9e/Zos00mJiZqN9TWrVvTvXv3PA0RNDb9UvNWVlbabKqLFy9mwIAB+Pr6Flki9hjjNwmpZAxb\nTiuVQyWaqmL+T83KX8BfRm4OgozrVtQ9okxlWLOqqpD2vwUnU+OjuH/6N0pZZPrMmVuh06USfeVY\nNkcoXrrkRMA4yWN2o4T0S0soilJkDxdCiOdLrtUAnp6eeHp6Mm3aNAIDA/H19eXQoUNas9C9e/dY\nu3btc5GwFGap+byqWLFioY9RWKmpqcTGxmYZ1WVAUShlZUXZcuVM5mm+LEV7/Uzhd6Gn0+l49Mhw\nhWwFKG2umGjHdRujXb/cmpyHDBlSTJEIIUxJntstLC0t6dSpE506dSImJgY/Pz927drF6dOnn2V8\nRSq3peaLImExhXVwZs6cyalTp3LdLiUlhXbt2tG/f/9iiKr4mcLvQm/v3r2sXLmS9CdqspKTk1m5\nciUODg5Gisz0PDlKCDLuP87OznTr1k2mxhfiBVWgjhZ2dnb06dOHPn36aBPLPQ+Keql5UxWXx+Xq\nQUZ85ZWPj482L0d+ZdSuPMr2tfT0dMaNG4d5EfR5atWqFYMHDy70cYwtu1FCQghRqLvk6dOn+fLL\nLwEYOXJkkQT0LBXlUvPFoaB/JJOSkvK87dWrVwv1R66k/JF8llJTU3N8zczMDDMT6PBsKlJSUrT1\nelasWCGzyQohNIVKWOLj4wkJCTGZPhAiQ+nSpVEUhfj4+Cz9WCwsLEhPTyc9PR0rKyuD2T5FzgYP\nHlzgxOzu3buMGDHCoDnIzc2NBg0a8NZbb2Fvb19UYT73LC0tiYqKIiEhwaDpVgghjD/2thgV1VLz\nxaUwfyQBLl68yJw5c4iNjaVs2bJMnDiRxo0bF2GEIi8cHR0ZP348Gzdu5PHjx3Tq1IkPPvhAEv0c\nvPbaawQEBHD58mVefvllY4cjhDARL1TCUhRLzT9P6tWrh4+PD7du3cLFxeW5nj/nede6dWtat25t\n7DCeC4MHDyY4OJgJEyYwfvx46tati5WV4ay/VapUMVJ0RatsjRrGDkGI58YLlbAUdqn555GlpWWJ\nTMZEydWnT5+MNZZiYhg3blyW1xVF4eLFi0aIrOi1+OEHY4cgxHMjx4TF29s7151v3rxZpME8a3ld\nal4IYVxPnUNICPFCemrCUtLa2PO61LwQwnj0o4SEECKzpzYJlcSnnLwsNS+EMJ4FCxYYOwQhhAnK\nMWEZNWpUccYhhHiBeXl5UapUKfbv32/sUIQQJkoSFiGE0UVERJS4JmghRNHKYSlfIYQQQgjTIQmL\nEEIIIUzeCzUPixDCtNWtWzfXbUrSPCxCiLyThEUIYTJK4shEIUTRkCYhIYQQQpg8qWERQpiMS5cu\nGTsEIYSJkhoWIUSJdvfuXcaMGUPTpk1p0qQJo0eP5s6dO3naNyUlha+//ppWrVrRsGFD3nvvPYKD\ng59xxEKI7EjCIoQosZKSkujfvz/Xr19n/vz5LFiwgL///psBAwaQlJSU6/5Tp07l559/Zty4caxa\ntYpKlSoxZMgQqQkSwgikSUgIYXTOzs7PZOK4rVu3Eh4ezp49e6hatSoAtWvXplOnTmzZsoWBAwfm\nuO+lS5fw8/Nj3rx59OjRAwBPT0+6du3KsmXLWLFiRZHHK4TImdSwCCGM7sCBAwQEBBT5cQMDA2nY\nsKGWrAC4urrSuHHjXM8XEBCAhYUFnTt31srMzMzo2rUrR48eJTU1tcjjFULkTBIWIUSJFRoaSq1a\ntbKUu7u7ExYW9tR9w8LCcHV1xcrKKsu+qamp3Lx5s0hjFUI8nSQsQogSKzo6Gjs7uyzldnZ2xMbG\nPnXfmJiYbPctX768dmwhRPGRhEUIIYQQJk8SFiFEiWVnZ0dMTEyW8piYGGxtbZ+6r62tbbb76mtW\n9DUtQojiIQmLEKLEcnd3JzQ0NEt5aGgobm5uue57+/ZtkpOTs+xrYWFBtWrVijRWIcTTScIihCix\nvLy8OHv2LLdv39bKbt++zenTp2nfvn2u+6amprJ7926tTKfTsXv3blq1aoWFhcUzi1sIkZUkLEKI\nEqt37964uLjw8ccfExAQQEBAACNHjsTZ2Zl3331X2y4iIoJ69eoZzK1St25dunTpwty5c9m+fTvH\njx/nk08+ITw8nDFjxhjj7QjxQpOJ44QQJZa1tTXr1q1jzpw5TJ48GVVVadmyJVOnTsXa2lrbTlVV\n7V9m8+bNY/HixSxdupS4uDg8PDxYu3YtHh4exf1WhHjhScIihCjRHB0dWbZs2VO3cXFxISQkJEu5\npaUlkydPZvLkyc8qPCFEHkmTkBBCCCFMniQsQgghhDB50iSURzqdDshYql4IkUH/fdB/P0QGuV8I\nkVVh7xeSsOTR/fv3Aejbt6+RIxHC9Ny/f5/q1asbOwyTIfcLIXJW0PuFoj7ZLV5kKykpiQsXLlCp\nUiXMzMyMHY4QJkGn03H//n0aNGhA6dKljR2OyZD7hRBZFfZ+IQmLEEIIIUyedLoVQgghhMmThEUI\nIYQQJk8SFiGEEEKYPElYhBBCCGHyZFizkezYsYOpU6dia2tLQEAA5cqV017T6XTUr1+fUaNGMWrU\nqCI7l561tTX29vbUq1ePrl270rlz52z3e/ToET4+PgQGBhIeHo6qqlStWpV27drRv39/KlasCGSs\nahsREWFw/KpVq9K7d28++OCDQsdvygpybeW6lnx3795lzpw5HDt2TFu/6LPPPsPJySnXfVNSUli8\neDG7du0iLi6OunXrMmHCBJo2bVrs8Zw/f54tW7YQHBxMZGQk9vb2NGnShHHjxuHq6lrs8Txp9erV\nLFq0iCZNmvDjjz8aLZ6wsDCWLVvGH3/8QWJiIk5OTvTt25d+/foVezx37txhyZIlnDx5kocPH+Lo\n6Ejnzp358MMPDdbPyo/IyEhWr17NX3/9xaVLl0hKSuLAgQM4Ozvnum9Rfp4lYTGyuLg41qxZw/jx\n45/peRRFYdmyZVSpUoWUlBQiIiI4dOgQn376Kdu2bWPVqlVYWlpq24eGhjJ48GAURaF///7Ur18f\ngJCQELZu3cr169f5z3/+o23/73//m9GjRwMQHx9PYGAgX331FWlpaQwcOPCZvjdjy8+1leta8iUl\nJdG/f3+srKyYP38+AIsXL2bAgAH4+vrmOpxz6tSpHDlyhEmTJuHq6sqPP/7IkCFD2Lp1a4EWXSxM\nPP7+/oSFhdG/f39q167NvXv3WL58Ob169cLX15cqVaoUazyZ3bp1i5UrV2oJfkEVNp7z588zcOBA\nmjdvzuzZsylXrhw3btwgISGh2ONJTExk4MCB6HQ6xo0bh5OTE+fPn2fZsmXcvHmTRYsWFSimGzdu\nsHfvXurXr0/Tpk0JCgrK875F+nlWhVH88ssvap06ddQhQ4aor776qhoVFaW9lpaWptapU0f9z3/+\nU2Tn8vDwUG/evJnltX379qkeHh7qrFmzDM7/xhtvqB07dlQfPnyYZR+dTqcePHhQ+7ldu3bqxIkT\ns2z3/vvvq7179y6S92Cq8nNt5bq+GH744Qe1Xr16Bp+JW7duqfXq1VO///77p+4bEhKi1qlTR92x\nY4dWlpaWpnbq1En96KOPij2ezPclvfDwcNXDw0NdtmxZsceT2eDBg9Xp06erH3zwgdqnT58CxVLY\neNLT09UuXbqoo0ePLvD5izKeo0ePqh4eHmpQUJBB+cKFC9X69eurSUlJhY5v27ZtqoeHhxoeHp7r\ntkX9eZY+LEakKAofffQRACtWrMh1+3PnzjFw4EAaNWpEo0aNGDhwIOfOnStUDB06dKB9+/Zs376d\n5ORkAPbt28f169eZMGEC9vb2WfYpVaoUbdq0yfXYNjY2pKamFiq+59mT11au64shMDCQhg0bUrVq\nVa3M1dWVxo0bExAQ8NR9AwICsLCwMGhKNDMzo2vXrhw9erRAv/fCxOPg4JClzNnZGQcHByIjI/Md\nS2Hj0du1axchISF8+umnBYqhqOI5ceIE165dK9LazsLEo/982NjYGJSXK1eO9PR01GKedq2oP8+S\nsBhZ5cqV6du3L9u2bePOnTs5bnfp0iX69etHXFwc8+fPZ/78+cTHx9OvXz8uX75cqBjatGlDSkoK\n58+fB+D48eOYm5vTunXrPB9DVVV0Oh06nY7Y2Fh+/fVXjh07RteuXQsV2/Mu87WV6/piCA0NpVat\nWlnK3d3dCQsLe+q+YWFhuLq6YmVllWXf1NRUbt68Wazx5BRjVFQU7u7u+d63KOKJjY1l3rx5TJo0\nCVtb2wLFUFTx/Pe//wUymnHeffddGjRoQMuWLfnqq6+0B8DijKdly5ZUr16dBQsWEBYWxuPHjzl+\n/Djr16/n/fffL/bZqIv68yx9WEzAsGHD2Lp1K97e3syePTvbbVasWIGVlRXr1q3TsucWLVrQvn17\nli9fzrJlywp8ficnJ1RV1dY/uXPnDvb29lk+ZE+za9cudu3apf2sKArvvPMOQ4YMKXBcJYG+k9z9\n+/flur4goqOjsbOzy1JuZ2dHbGzsU/eNiYnJdt/y5ctrxy7OeJ6k0+mYMWMGFSpUoFevXvmOpSji\n+frrr3nppZfo0aNHgc5flPHcu3cPVVX55JNP6NevHxMmTODChQssXbqUyMhIg/5oxRGPpaUlmzZt\nYvTo0dpDjf6eMW3atHzHUlhF/XmWhMUE2NnZMWjQIFasWMGwYcMMqgL1goODadu2rUFVn42NDV5e\nXgQGBhbq/PpqQkVRCnyMNm3aMHbsWFRVJTExkfPnz+Pt7Y25uTnTp08vVHzPs8JeW7muwpTMnDmT\nM2fOsGbNGoORjcUlODgYX19ffv3112I/d3ZUVUVRFP7v//5PG9Hp6elJWloaixYt4tq1a9SsWbPY\n4klJSWHs2LFERUWxcOFCHB0dtXtGqVKl+OKLL4otlmdBmoRMxMCBA7G1tc2xpiQmJoZKlSplKa9Y\nsWK+n5KedPfuXRRF0Y7v5OTEo0eP8lWlaWdnR7169bRe5IMGDeLjjz9m8+bNBap2Lin0y6lXqlRJ\nrusLws7OjpiYmCzlMTExuTZh2NraZruv/klU/2RaXPFktnDhQn766Sfmzp1LixYt8h1HUcQzY8YM\n3n77bSpXrkxcXByxsbFak2lcXBwpKSnFGo/+99GyZUuD8latWqGqKpcuXSrWeLZv305wcDBr1qzh\nzTff1O4ZU6ZMYevWrYXuPpBfRf15loTFRJQpU4bhw4ezZ88eQkJCsrxuZ2fHgwcPspQ/ePCgpA7O\nIQAAFyxJREFU0O24gYGBWFlZ0aBBAyCjqUmn03H48OFCHVffxn3lypVCHed5lvnatmjRgrS0NLmu\nJZy7uzuhoaFZykNDQ3Fzc8t139u3b2dJakNDQ7GwsKBatWrFGo/eypUrWbt2LZ9//jndunXLdwxF\nFU9YWBhbtmzB09MTT09PmjVrxn//+1/OnDlDs2bN2LJlS7HGU9B+PM8qnitXrmBra5ullv7ll19G\nVdVif8gp6s+zJCwmpE+fPlSpUoUlS5ZkaULw9PTk0KFDPH78WCuLj4/nwIEDNG/evMDn3Lt3L4GB\ngbz//vta34qOHTtSo0YNFi5cyMOHD7Pso9PpOHToUK7H1mfz2Y00eBE8eW07duzISy+9JNe1hPPy\n8uLs2bPcvn1bK7t9+zanT5+mffv2ue6bmprK7t27tTKdTsfu3btp1aoVFhYWxRoPwPr161m6dCmf\nfPIJffr0yff5izKeDRs2sH79ejZs2KD98/DwoHbt2mzYsIFOnToVazytW7fGwsKCo0ePGpQfPnwY\nRVF4+eWXizWeSpUqERsby61btwzKz549i6IoBZo3pzCK+vNs9sXz3qj1nLp06RIBAQH069dP65Rk\nZmZG2bJlWbduHYqi0KxZM5o1awZAzZo12bJlC4cPH6Z8+fKEhYUxffp07t27x4IFC6hQocJTz7V/\n/36aNm1KQkICt2/fJjg4mFWrVrF8+XJatWrFrFmzMDMzAzKG17Zo0YKff/6ZLVu2oNPpSElJ4fbt\n2+zfv5/PP/+cu3fv0qVLFwDWrVuHtbU11atXJzIykhs3buDv78+3335LrVq1+OSTTwrVP8aU5efa\nynV9MdSpUwd/f3/27t1L5cqVuX79OjNmzMDa2pqvvvpKu0lHRETQvHlzFEXB09MTyPiDc+3aNTZt\n2kT58uWJjY1l4cKFnD9/noULFxZokrTCxOPn58f06dNp3bo1PXv2JDIyUvuXkJBQoKS5MPG4uLhk\n+efn54elpSWjR4/OMpz3WcdTunRpdDodP/zwg1aLsHv3blasWEH37t156623iv36/PzzzwQEBGBj\nY0NMTAx79uxh6dKl1KlTh7Fjx+Y7Hr29e/cSFhbGqVOnuHDhAjVq1CAiIoJHjx7h4uJSLJ9n6XRr\nYt566y2+++67LMO96tSpw/r161myZAlTpkxBVVUaNWrExo0bqV27dq7HVRSFcePGAWBlZYWDgwP1\n69dnyZIldOzYMcv2bm5u7Ny5Ex8fH3799VeWL1+OqqpUr16dTp06ZZly+ujRo9pThqWlJc7OzvTt\n25dhw4ZRqlTJrsjLz7WV61ryWVtbs27dOubMmcPkyZO1qdWnTp1qMDW6qqrav8zmzZvH4sWLWbp0\nKXFxcXh4eLB27doCzXJb2Hj0n70jR45w5MgRg+N6enqyfv36Yo0nJ4VJ3Asbz6hRo7CxsWHz5s34\n+PhQqVIlhg0bps2xVZzxuLi4aCNOly5dyqNHj3B0dOS9995jxIgRBYpHb+zYsdp1VhSFL7/8Evjf\n56A4Ps+KWtwzyQghhBBC5JM8ogkhhBDC5EnCIoQQQgiTJwmLEEIIIUyeJCxCCCGEMHmSsAghhBDC\n5EnCIoQQQgiTJwmLEEIIIUyeTBwnDHh7e+Pt7W1QZm5uTuXKlWnRogWjR4/G0dHRSNEJUfJl9x3M\nrGfPnsydOzffx/Xy8iIiIgIXFxcCAgIKE2K+nTx5kv79+2cpL1u2LLVq1aJ3794FmhU2r8LDw7Vp\n7TNfP/1M1QCvv/56lsnM9NfM2dmZAwcOPLP4crJjxw6mTp1qUGZubo6DgwNNmjRh5MiRBV7PKDw8\nnB07dgAYzKpuyiRhEdnKPHOkTqfjzp07/Pzzzxw/fhw/Pz+DGReFEEUvp9lbCzOrq7GXcnjy/I8f\nP+bMmTOcOXOGK1euMGXKlGd6bv0/vZCQELy9vVEUBVdX1ywJi357Y88q/eT9+P79++zevZugoCB8\nfX0L9BAZHh6uvXfguUhYpElI5GjkyJGEhITg5+eHk5MTAHfu3Cn2pzMhXlT672Dmf3PmzCnw8Uxh\nYnNPT09CQkI4d+6cVtOhKAobNmwgIiLimZzTxcWFkJAQLl68mK/rFxAQQEhIiFYLY0w9evQgJCSE\nwMBA6tWrB0BcXBw7d+4s0PFM4bOQX1LDInJVs2ZNOnbsyA8//ABgcFOJjIxkxYoVHD16lMjISMqU\nKUPDhg358MMPadq0qbbdo0ePWLZsGUeOHOHBgweYmZlRqVIl6tevz+jRo6lRowaA9oTj6enJ0KFD\nWbJkCWFhYVSsWJE+ffowdOhQg9guX77MqlWrOHnyJNHR0djY2PDqq68ydOhQg/NnrmZfvnw5R48e\nZd++fSQnJ9OwYUOmT59O9erVte337dvHunXruHbtGvHx8djZ2VGjRg3at2/PoEGDtO3CwsL49ttv\n+eOPP3j48CG2trY0bdqUkSNHUqdOnaL5BQiRA39/f7Zv387169eJjo5Gp9NRpUoV/vWvfzFmzJin\nLooKkJycjLe3N7///juRkZEAVKhQgXr16jF06FBeeeUVbdtdu3axZcsWLl++THJyMs7Ozrzxxht8\n9NFHlC5dOt+xW1hY0KNHD3x8fLhy5Qrp6elcuHABZ2dnAIKDg1m7di1nzpwhLi6O8uXL06xZMz78\n8EOD79bt27dZtmwZf/75J1FRUVhZWeHo6EiDBg2YOHEiDg4O2TYJ9evXjz///BNFUVBVlSlTpmg1\nPPPmzaNHjx5ZmtECAgIYOXIkAJ9++inDhg3T4liwYAFr164FMhYubd68OaqqsmnTJnbs2EFYWBjp\n6elUq1aNnj17MmDAAG3B2fxwdHSkR48e/PXXX4Dh/fjOnTvMnz+fS5cuERUVxePHj7GxsaF+/foM\nGTKEli1bAjBlyhR+/fVX7b1nvj+OGjWKUaNGARmrTq9bt44LFy6QkJBA5cqV8fLyYuTIkdjb2+c7\n9sKShEXkSeZsXH8TvHbtGn369CE6OlqrVoyLi+PIkSMEBQXxzTff0LlzZwAmT56sLbmud+PGDW7c\nuEH37t21hAUynrauXLnCRx99pJ03IiKChQsXkpiYyOjRowE4ceIEw4cPJyUlRTtuTEwMBw8e5PDh\nw8yfP58333zT4H0oisLUqVOJi4vTyoKCgvjoo4/w8/NDURTOnTvHuHHjDN5zVFQUUVFRJCUlaQlL\ncHAwQ4cO1VZphYzEbN++fRw6dAgfHx+aNGlSwCsuRO7++OMPTpw4YVAWHh7O1q1b+fPPP/H19cXc\nPOfb/Lx589i8ebPB9zI8PJzw8HCaN2+uJSyzZs3ixx9/NNju5s2brFq1imPHjvHjjz9iaWlZoPeQ\n3ZP+zp07mTp1Kunp6do5o6Ki8Pf3Z//+/axdu1ZbEfjDDz8kLCxM2y41NZXQ0FBCQ0MZMmSIwYrS\nTzZJZf4588J+OW3Ttm1bKlSowMOHD/Hz8zNIWHbv3o2iKFStWlVLVkaOHMmBAwcMjhEaGsr8+fP5\n888/WblyZf4u1j+yux8D3Lt3T4tDLyYmhqCgIE6cOMH3339Ps2bNsjSNZff/Pj4+zJ8/3+C1O3fu\nsHHjRg4dOsTWrVsLtFp3YUiTkMhVWFgYv//+OwBlypShXbt2AMyePZvo6GhsbW1Zv349586dY+/e\nvdSsWRNVVZk1axZpaWlAxh93RVHo0KEDwcHBnDp1Cl9fXyZPnkyVKlWynDM2NpZPPvlEe8rSP8Gt\nWbOGR48eATBjxgxSU1NRFIWZM2dy6tQpvL29MTc3186flJSU5djlypVj586dHDlyhJo1awJw/fp1\nzp07B8CpU6dIT08HYOvWrVy4cIFDhw7x7bffGiRA06ZN0540f/nlF86fP8+OHTtwcHAgJSVFW81U\niILy9vbGw8PD4F/mJtlu3bqxbds2Tpw4wV9//UVQUBA9e/YEMj7Thw4deurx9d/Lhg0bcvz4cc6c\nOcPu3buZMWMGbm5uAJw9e1ZLVnr27ElQUBBnzpxh4sSJAFy4cIFNmzbl+72lpqayY8cOrl69CmT8\noXz55ZdJTExk9uzZqKqKubk5y5cv59SpU8ycOVPbb/r06QBER0dryUq/fv04c+YMJ0+e5KeffmLs\n2LGUK1cux/Nv2LCBOXPmoKoqiqIwd+5crdmoR48e2naZkwMzMzO6d++OqqpcvnyZsLAwIOOeoa/p\n0F9/f39/LVkZPnw4J0+eJDg4WOt8fPDgwQI1Nd25c0drBjIzM+ONN97QXnN2dmblypUcOnSIc+fO\ncfr0aS0pSk9P11bXnjt3LuvWrdPee+amx5EjR3L37l0WLVqEoij8+9//JjAwkLNnz/LNN98AGbVa\nBU22CkNqWESOnhytUL16dWbPno2DgwPJycmcOHECRVGIjY2lX79+WfZ/9OgRFy9e5JVXXsHV1ZUr\nV65w+vRpVqxYgbu7O7Vr12bAgAHZdgSsUqWK9vTSsmVLXn/9dX777TdSU1MJDg6mVq1a3LhxA0VR\nqFOnDr179wagffv2tG3blv379xMbG8vp06dp0aKFwbEHDx5M7dq1AWjdurV20wkPD6dhw4a4urpq\n265atYomTZpQs2ZNXnnlFdq0aQNk1A5dv34dRVEIDw/XblKZXblyhaioqFyr5YXIydOe9gEqVaqE\nt7c3wcHB3L9/X3tA0Lt+/fpTj+/q6srVq1cJCwtj+fLl1K5dm1q1atGrVy8sLCwADEbH/PLLL/zy\nyy8Gx1BVlaCgIAYOHJin93Ty5MlsO7f269cPJycngoKCiI2NRVEU2rRpg5eXFwC9e/dm8+bNhISE\n8Pfff3Pr1i1cXV2xtbUlLi6OQ4cOUaZMGdzc3PDw8GDEiBF5iie/3n77bb7//nsAfvvtN8aOHctv\nv/0GQKlSpbR7QWBgoLbPqlWrWLVqlcFxVFXl6NGjvP7663k6744dO7RRPZDxu58+fbp2LwMoX748\nly9fZunSpdy4cYPExESD8+X2edA7cuQIaWlpKIrC4cOHadu2bZbYg4KC8nSsoiQJi8hR5pujqqok\nJSWRmpoKoLWXP1m1+OT++tqQr776iilTpnD9+nV8fHy0pxZnZ2dWrFiR5Qb2ZK93fbs2ZCRCDx8+\n1H7WdwjObtvM2+npa1Ugo8ZILyUlBYAOHTrQt29ffvrpJw4cOMCBAwdQVRUzMzPee+89pk2bRlRU\nVLbX6cn3Hx0dLQmLKLCRI0dq/QmeFB8fz/vvv8/Dhw+zNGfov1/Z1TBm9tlnnxEVFcX58+fZuHGj\ntp+9vT3ffPMNLVu2NPgO5fRZj4mJyfN7ynwMa2trateuzdtvv83bb78NkOt3OyQkBMhoIqpatSoL\nFizgiy++0Jqo9O+hVq1afPfdd9nW4BaGm5sbDRs25OzZs/j5+TFq1Cj27t2Loii0aNFCu3c9y+um\nqiopKSkGzdGQ0XS3bdu2bJu39PfwvMjL/S0/sRcVSVhEjkaOHMmIESPYu3cvkyZNIjIyklGjRuHn\n54e9vT1mZmakp6dTvXp19uzZ89RjvfLKK/j7+xMREcG1a9e4dOkSK1as4M6dOyxcuJDvvvvOYHt9\nB0C9zB3L7O3tDZKAO3fuGGyb+efs2lgzt+nn9GWcNm0akydP5vLly9y4cYNdu3Zx6NAhNm3aRPfu\n3Q3O37JlS62znRDF5cSJE1qy0qJFCxYuXIiDgwMbN27kq6++ytMxqlatyrZt23jw4AFXr14lNDSU\n1atX8+DBA2bNmsXu3bsNvkMLFizI0i8svzw9PbWmiezk9but365NmzYEBgZqtZ4XLlxg5cqVhIaG\nsmLFCq0pKTsFHeb91ltvcfbsWW7dusXKlSu130OvXr20bTJft02bNtGoUaMCnUuvR48ezJ49mxMn\nTjB69GhiYmKYMmUKNWrUoEGDBsD/+tFYWlqyYcMGGjRoQGJiIk2aNMm1ti6zzL+DcePG8eGHHxYq\n9qIifVjEU5mbm9O1a1f69OkDZMybsHDhQqysrHjttddQVZUbN26wYMECHj58SGpqKteuXeP7779n\nwIAB2nEWL15MYGAgpUqVonnz5rzxxhvY2dmhqmqWmxLA3bt3WbNmDQkJCQQFBWltvRYWFjRt2pTq\n1atTo0YNrS1527ZtPH78mAMHDmhVsba2tgW6Sfz555+sWbOGa9euUaNGDTp27EjDhg211yMiIgzO\nf/z4cdatW0dcXBwpKSlcunQJb29vPvnkk3yfW4i8ypx4W1paYmVlxdWrV9mwYUOej7F27Vr8/f1J\nSkqiSZMmdO7cmcqVKxt8L/V91lRVZcmSJfz3v/8lJSWFmJgYDh8+zKeffsquXbuK7H01atRIuzcc\nPnyYwMBAHj9+zLZt27h48SKQUUtatWpVIKP29vjx41hbW9OqVSs6dOigdQDO7t6SWfny5bX/v3Ll\nCjqdLk8xdu3aVetX9+233wJgZ2dn0Lyjv276GC9dukRqaipRUVH8/vvvjBgxguDg4DydT69UqVK0\nbNlSG3ig0+kMhmmbmZmhqiqlSpXCxsaGhIQEvv7662yPlfm9X7t2TathBmjVqpXWF9DHx4cjR46Q\nlJREfHw8J0+eZPr06axevTpfsRcFqWERefLxxx/zyy+/kJCQgL+/P0OHDuWzzz6jb9++xMTEsHbt\n2iy1DC4uLtr/7969O0sbLqB16nqSg4MDS5cu1Tp56bcdPny4Npxu5syZ2iih6dOnax3xIOOLO336\n9AINt7xz5w7ffPONwbn1ypQpo438mTVrFsOGDSM5OZm5c+dmmX30eZiISTy/GjdujIODA48ePeLg\nwYPa5zLziLvcHD16lOPHj2cpz/y9fPXVV+nTpw+bN28mPDxce3jJbtvc5GXuD2traz7//HOmTJlC\nWloaH330kcG5LC0tDWpNNm/ezMaNG5/6HnJSt25dLCwsSEtLw8fHBx8fHyCj307mpuUn2djY0LFj\nR3x9fbW+Ht26ddP6/QB06dJFq5n966+/DDry6uMbMmTI0y9GDvr27cuGDRsIDw/n9OnTBAYG0q5d\nOzp06MD27dtJTEykS5cuwP8+D09e++rVq2Nvb090dDT+/v74+/sDGZ2RPT09GTduHN988w2xsbEG\no6H0seuHdxcnqWERWWRXVWhvb8+QIUO0cfuLFi3Czc2NnTt38v7771OtWjUsLS2xtbWlVq1avPPO\nOwY3lQ8++IAWLVpQpUoVLC0tKV26NLVq1WLMmDHaaIPM3NzcWL16NQ0aNMDKygpnZ2cmTpxo0J7f\nvHlztm/fTpcuXahUqRLm5uaUL1+edu3asWHDBrp27ZrlfWX33p4sr1+/Pr169cLd3R1bW1ttKmwv\nLy/Wr19P5cqVgYyq7Z9//pkePXrg5OSEhYUF5cuXx8PDg/79+zN+/Pj8X3whyFtTha2tLd999x1N\nmjTB2toaR0dHxowZw/Dhw5/aryrzaz179qRt27Y4OTlRunRpLCwsqF69OoMGDTJ4Mp8+fToLFizA\n09MTW1tbLCwscHJy4rXXXmPSpEm0bt06T+/paX3eMuvWrRvr16+nbdu22NvbY25uTsWKFenSpQvb\nt283mGNp+PDhNG3alIoVK2Jubo61tTX169fn888/NxgMkF2/jipVqjB//nzc3d2xsrLKdlbbnGLu\n1auXwXvK3Byk32/lypVMmzaNV199lbJly2JlZYWLiwutW7dm+vTp2gRwuV23J+O2sLBgzJgxWtmi\nRYsAmDp1Ku+//z4VK1akTJkyeHl58cMPP2R77S0tLVmyZAn169fH2to6y3sfOnQoq1evpnXr1trv\noFKlSjRu3JgxY8ZkO9DgWVPU53G6O1FieXh4oChKru3cQgghXixSwyJMjuTQQgghniR9WIRJyWm2\nSSGEEC82aRISQgghhMmTJiEhhBBCmDxJWIQQQghh8iRhEUIIIYTJk4RFCCGEECZPEhYhhBBCmDxJ\nWIQQQghh8v4fbO6XBS3oxeMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd35abdedd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "create_gene_summary('LAG3')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mann-Whitney test: U=93.0, p-value=0.388495557235 (two-sided)\n",
      "{{{CD274_plot}}}\n",
      "{{{CD274_benefit:129.00 (range 31.00-976.00)}}}\n",
      "{{{CD274_no_benefit:102.00 (range 6.00-1424.00)}}}\n",
      "{{{CD274_mw:n=26, Mann-Whitney p=0.39}}}\n",
      "CD274 scaledTPM, Bootstrap (samples = 100) AUC:0.603553470189, std=0.105511144829\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patient_id</th>\n",
       "      <th>aa_change</th>\n",
       "      <th>hvar_pred</th>\n",
       "      <th>hvar_prob</th>\n",
       "      <th>hdiv_pred</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [patient_id, aa_change, hvar_pred, hvar_prob, hdiv_pred]\n",
       "Index: []"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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P1bJlS8qXL68OHv7www8ZPXo0M2bMoHHjxvTq1YuqVauyatUqtWegevXqbNq0iRs3buDn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\niArh/wOGbd2mJxmuXwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd35ac07210>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "create_gene_summary('CD274')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{{{tumor_pdl1_vs_ic_level}}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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ff85zzz1H/fr1OX78uLavs7Mz9erVA6SojRDFxWJ1K/R6vcmZkblFbfz9/YmMjDS5b//+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\nJgxIMjoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd315481a10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sb.factorplot(\n",
    "    data = cohort_expr_data[cohort_expr_data.gene_name == 'CD274'],\n",
    "    y = 'scaledTPM',\n",
    "    x = 'IC Level',\n",
    "    kind='swarm'\n",
    ")\n",
    "plt.title(\"PD-L1 RNA Seq\")\n",
    "plt.ylim(0, )\n",
    "print(\"{{{tumor_pdl1_vs_ic_level}}}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{{{tumor_pdl1_vs_ic_level_plot}}}\n",
      "{{{tumor_pdl1_vs_ic_level_spearmanr:n=26, Spearman rho=0.045 p=0.83}}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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paYiLi0O/fv3M3ler1cjNzUVlZaVJe3Z2NpRKpXTNR61WQ6/Xm908m52dDUEQoFar7XcQ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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd31551d890>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pdl1_data = cohort_expr_data[cohort_expr_data.gene_name == 'CD274']\n",
    "def tumorPD_L1(row):\n",
    "    vals = list(pdl1_data[\n",
    "        pdl1_data.patient_id == row['patient_id']\n",
    "    ]['scaledTPM'])\n",
    "    return vals[0]\n",
    "  \n",
    "results = cohort.plot_correlation({\"PD-L1 IC\": lambda row: int(row[\"PD-L1\"].split(\"IC\")[1]),\n",
    "                                    \"Tumor PD-L1 scaledTPM\": tumorPD_L1},\n",
    "                                    plot_type=\"boxplot\",\n",
    "                                    x_col=\"PD-L1 IC\",\n",
    "                                    stat_func=spearmanr)\n",
    "         \n",
    "spearmanr_hyper_label_printer(results, label=\"tumor_pdl1_vs_ic_level\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# From Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq\n",
    "EXHAUSTION_GENES_OF_INTEREST = [\n",
    "    'PDCD1', # aka PD1, \n",
    "    'CD274', # aka PD-L1\n",
    "    'TIGIT', \n",
    "    'LAG3', \n",
    "    'HAVCR2', # aka TIM3,\n",
    "    'CTLA4'\n",
    "]\n",
    "\n",
    "\n",
    "CYTO_GENES_OF_INTEREST = [\n",
    "    'NKG7',\n",
    "    'CCL4',\n",
    "    'CST7',\n",
    "    'PRF1',\n",
    "    'GZMA',\n",
    "    'GZMB',\n",
    "    'IFNG',\n",
    "    'CCL3'\n",
    "    \n",
    "]\n",
    "\n",
    "NAIVE_GENES_OF_INTEREST = [\n",
    "    'CCR7',\n",
    "    'TCF7',\n",
    "    'LEF1',\n",
    "    'SELL'\n",
    "    \n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Rq1atbMtTUlJ0+fJlNWrUyHA/AE/BKXMA/BtQOjm9+zg7y1Ikr+L03XffqVy5ck4fKVOr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\nBoPBAPB/xaeOtw0FrZUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd31551d850>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "X = cohort_df.merge(kallisto_data).set_index('patient_id')\n",
    "p = sb.clustermap(\n",
    "    X[EXHAUSTION_GENES_OF_INTEREST + CYTO_GENES_OF_INTEREST + NAIVE_GENES_OF_INTEREST].T,\n",
    "    z_score=0,\n",
    "    # row_cluster=False,\n",
    "    square=True,\n",
    "    col_colors = ['green' if b else 'red' for b in X.benefit] \n",
    "\n",
    ")\n",
    "r = plt.setp(p.ax_heatmap.yaxis.get_majorticklabels(), rotation=0)\n",
    "r = plt.setp(p.ax_heatmap.xaxis.get_majorticklabels(), rotation=60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{{{exhaustion_genes_of_interest}}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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gUXDaTuCmTZv01VdfaeHChQ1dCgAAwHXHKTuBP/74o+bPn6+HH35YZrNZRUVFunDhgqxW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\n7aAZ7QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd31436d090>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = sb.factorplot(\n",
    "    data = cohort_expr_data[cohort_expr_data.gene_name.isin(EXHAUSTION_GENES_OF_INTEREST)],\n",
    "    hue = 'Response',\n",
    "    y = 'scaledTPM',\n",
    "    x = 'Gene',\n",
    "    kind = 'box',\n",
    "    size = 8\n",
    ")\n",
    "p.set_xticklabels(rotation=45, horizontalalignment='right')\n",
    "print(\"{{{exhaustion_genes_of_interest}}}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{{{exhaustion_genes_of_interest_swarm_pdl1}}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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Nxua9ECIiUub2mjXs7e0xbdo0jB49Gu7u7rhw4QK2bNmC6dOnY+/evfD19QUAFBcXw9XV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HL/6OLQhlCXlxDSnDiOg6FMAoVKzbcZGdAZgdauSe/gokWLdJ2DEELqGdevKzYcuAwGgOOAcX27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\ng2FJh2EYhjGY/wM9Kogc6PeGoAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd307546ed0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sb.set_context(font_scale=1.5)\n",
    "p = sb.factorplot(\n",
    "    data = cohort_expr_data[cohort_expr_data.gene_name.isin(EXHAUSTION_GENES_OF_INTEREST)],\n",
    "    hue = 'Response',\n",
    "    y = 'scaledTPM',\n",
    "    x = 'Gene',\n",
    "    kind = 'swarm',\n",
    "    row = 'IC Level',\n",
    "    size = 5\n",
    ")\n",
    "p.set_xticklabels(rotation=45, horizontalalignment='right')\n",
    "# plt.setp(p.axes, sizes=[100])\n",
    "p.set(ylim=(0, None))\n",
    "print(\"{{{exhaustion_genes_of_interest_swarm_pdl1}}}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{{{exhaustion_genes_of_interest_pdl1}}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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6pPz8/PqfBAAAgI/y2RD4j3/8Q0FBQcrKytJ//Md/qGfPnrr33nu1YsUKnT9/3l2Xk5Mj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QAAAg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\nCiGEEELo0P8A91+efxpqA+EAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd3143767d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = sb.factorplot(\n",
    "    data = cohort_expr_data[cohort_expr_data.gene_name.isin(EXHAUSTION_GENES_OF_INTEREST)],\n",
    "    hue = 'Response',\n",
    "    y = 'scaledTPM',\n",
    "    x = 'Gene',\n",
    "    kind = 'box',\n",
    "    row = 'IC Level',\n",
    "    size = 8\n",
    ")\n",
    "p.set_xticklabels(rotation=45, horizontalalignment='right')\n",
    "print(\"{{{exhaustion_genes_of_interest_pdl1}}}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
